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MacOS: "AssertionError: Torch not compiled with CUDA enabled" #877

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danyaljj opened this issue Feb 18, 2018 · 3 comments
Closed

MacOS: "AssertionError: Torch not compiled with CUDA enabled" #877

danyaljj opened this issue Feb 18, 2018 · 3 comments

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@danyaljj
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danyaljj commented Feb 18, 2018 •
edited

I do NOT have a GPU on my MacOS. I think by setting "cuda_device": 0, in my config file everything should be cool (i.e. using CPU, instead of trying to use my non-existent GPUs). However, getting this error:


huntsman-ve501-0123:Desktop daniel$ python3.6 -m allennlp.run train ~/Desktop/bidaf.json -s ~/
/usr/local/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  from ._conv import register_converters as _register_converters
2018-02-17 19:21:36,531 - INFO - allennlp.common.params - random_seed = 13370
2018-02-17 19:21:36,532 - INFO - allennlp.common.params - numpy_seed = 1337
2018-02-17 19:21:36,532 - INFO - allennlp.common.params - pytorch_seed = 133
2018-02-17 19:21:36,533 - INFO - allennlp.common.checks - Pytorch version: 0.3.0.post4
2018-02-17 19:21:36,535 - INFO - allennlp.common.params - dataset_reader.type = squad
2018-02-17 19:21:36,535 - INFO - allennlp.common.params - dataset_reader.tokenizer.type = word
2018-02-17 19:21:36,535 - INFO - allennlp.common.params - dataset_reader.tokenizer.word_splitter.type = spacy
2018-02-17 19:21:36,535 - INFO - allennlp.common.params - dataset_reader.tokenizer.word_splitter.language = en_core_web_sm
2018-02-17 19:21:36,535 - INFO - allennlp.common.params - dataset_reader.tokenizer.word_splitter.pos_tags = False
2018-02-17 19:21:36,535 - INFO - allennlp.common.params - dataset_reader.tokenizer.word_splitter.parse = False
2018-02-17 19:21:36,535 - INFO - allennlp.common.params - dataset_reader.tokenizer.word_splitter.ner = False
2018-02-17 19:21:37,069 - INFO - allennlp.common.params - dataset_reader.tokenizer.word_filter.type = pass_through
2018-02-17 19:21:37,069 - INFO - allennlp.common.params - dataset_reader.tokenizer.word_stemmer.type = pass_through
2018-02-17 19:21:37,069 - INFO - allennlp.common.params - dataset_reader.tokenizer.start_tokens = None
2018-02-17 19:21:37,069 - INFO - allennlp.common.params - dataset_reader.tokenizer.end_tokens = None
2018-02-17 19:21:37,070 - INFO - allennlp.common.params - dataset_reader.token_indexers.tokens.type = single_id
2018-02-17 19:21:37,070 - INFO - allennlp.common.params - dataset_reader.token_indexers.tokens.namespace = tokens
2018-02-17 19:21:37,070 - INFO - allennlp.common.params - dataset_reader.token_indexers.tokens.lowercase_tokens = True
2018-02-17 19:21:37,070 - INFO - allennlp.common.params - dataset_reader.token_indexers.token_characters.type = characters
2018-02-17 19:21:37,070 - INFO - allennlp.common.params - dataset_reader.token_indexers.token_characters.namespace = token_characters
2018-02-17 19:21:37,071 - INFO - allennlp.common.params - dataset_reader.token_indexers.token_characters.character_tokenizer.byte_encoding = utf-8
2018-02-17 19:21:37,071 - INFO - allennlp.common.params - dataset_reader.token_indexers.token_characters.character_tokenizer.lowercase_characters = False
2018-02-17 19:21:37,071 - INFO - allennlp.common.params - dataset_reader.token_indexers.token_characters.character_tokenizer.start_tokens = [259]
2018-02-17 19:21:37,071 - INFO - allennlp.common.params - dataset_reader.token_indexers.token_characters.character_tokenizer.end_tokens = [260]
2018-02-17 19:21:37,071 - INFO - allennlp.common.params - train_data_path = /Users/daniel/Desktop/train_all_RemediaOnly_squadFormat.json
2018-02-17 19:21:37,071 - INFO - allennlp.commands.train - Reading training data from /Users/daniel/Desktop/train_all_RemediaOnly_squadFormat.json
2018-02-17 19:21:37,072 - INFO - allennlp.data.dataset_readers.reading_comprehension.squad - Reading file at /Users/daniel/Desktop/train_all_RemediaOnly_squadFormat.json
2018-02-17 19:21:37,073 - INFO - allennlp.data.dataset_readers.reading_comprehension.squad - Reading the dataset
100%|##########| 55/55 [00:00<00:00, 181.70it/s]
2018-02-17 19:21:37,379 - INFO - allennlp.common.params - validation_data_path = /Users/daniel/Desktop/train_all_RemediaOnly_squadFormat.json
2018-02-17 19:21:37,379 - INFO - allennlp.commands.train - Reading validation data from /Users/daniel/Desktop/train_all_RemediaOnly_squadFormat.json
2018-02-17 19:21:37,379 - INFO - allennlp.data.dataset_readers.reading_comprehension.squad - Reading file at /Users/daniel/Desktop/train_all_RemediaOnly_squadFormat.json
2018-02-17 19:21:37,380 - INFO - allennlp.data.dataset_readers.reading_comprehension.squad - Reading the dataset
100%|##########| 55/55 [00:00<00:00, 222.10it/s]
2018-02-17 19:21:37,629 - INFO - allennlp.common.params - test_data_path = None
2018-02-17 19:21:37,630 - INFO - allennlp.commands.train - Creating a vocabulary using validation, train data.
2018-02-17 19:21:37,631 - INFO - allennlp.common.params - vocabulary.directory_path = None
2018-02-17 19:21:37,631 - INFO - allennlp.common.params - vocabulary.min_count = 1
2018-02-17 19:21:37,631 - INFO - allennlp.common.params - vocabulary.max_vocab_size = None
2018-02-17 19:21:37,631 - INFO - allennlp.common.params - vocabulary.non_padded_namespaces = ('*tags', '*labels')
2018-02-17 19:21:37,631 - INFO - allennlp.common.params - vocabulary.only_include_pretrained_words = False
2018-02-17 19:21:37,631 - INFO - allennlp.data.vocabulary - Fitting token dictionary from dataset.
100%|##########| 544/544 [00:01<00:00, 354.94it/s]
2018-02-17 19:21:39,172 - WARNING - root - vocabulary serialization directory /Users/daniel/vocabulary is not empty
2018-02-17 19:21:39,182 - INFO - allennlp.common.params - model.type = bidaf
2018-02-17 19:21:39,183 - INFO - allennlp.common.params - model.text_field_embedder.type = basic
2018-02-17 19:21:39,183 - INFO - allennlp.common.params - model.text_field_embedder.tokens.type = embedding
2018-02-17 19:21:39,183 - INFO - allennlp.common.params - model.text_field_embedder.tokens.num_embeddings = None
2018-02-17 19:21:39,183 - INFO - allennlp.common.params - model.text_field_embedder.tokens.vocab_namespace = tokens
2018-02-17 19:21:39,183 - INFO - allennlp.common.params - model.text_field_embedder.tokens.embedding_dim = 100
2018-02-17 19:21:39,184 - INFO - allennlp.common.params - model.text_field_embedder.tokens.pretrained_file = https://s3-us-west-2.amazonaws.com/allennlp/datasets/glove/glove.6B.100d.txt.gz
2018-02-17 19:21:39,184 - INFO - allennlp.common.params - model.text_field_embedder.tokens.projection_dim = None
2018-02-17 19:21:39,184 - INFO - allennlp.common.params - model.text_field_embedder.tokens.trainable = False
2018-02-17 19:21:39,184 - INFO - allennlp.common.params - model.text_field_embedder.tokens.padding_index = None
2018-02-17 19:21:39,184 - INFO - allennlp.common.params - model.text_field_embedder.tokens.max_norm = None
2018-02-17 19:21:39,184 - INFO - allennlp.common.params - model.text_field_embedder.tokens.norm_type = 2.0
2018-02-17 19:21:39,184 - INFO - allennlp.common.params - model.text_field_embedder.tokens.scale_grad_by_freq = False
2018-02-17 19:21:39,184 - INFO - allennlp.common.params - model.text_field_embedder.tokens.sparse = False
2018-02-17 19:21:39,185 - INFO - allennlp.modules.token_embedders.embedding - Reading embeddings from file
2018-02-17 19:21:46,334 - INFO - allennlp.modules.token_embedders.embedding - Initializing pre-trained embedding layer
2018-02-17 19:21:46,355 - INFO - allennlp.common.params - model.text_field_embedder.token_characters.type = character_encoding
2018-02-17 19:21:46,355 - INFO - allennlp.common.params - model.text_field_embedder.token_characters.embedding.num_embeddings = 262
2018-02-17 19:21:46,355 - INFO - allennlp.common.params - model.text_field_embedder.token_characters.embedding.vocab_namespace = token_characters
2018-02-17 19:21:46,355 - INFO - allennlp.common.params - model.text_field_embedder.token_characters.embedding.embedding_dim = 16
2018-02-17 19:21:46,355 - INFO - allennlp.common.params - model.text_field_embedder.token_characters.embedding.pretrained_file = None
2018-02-17 19:21:46,355 - INFO - allennlp.common.params - model.text_field_embedder.token_characters.embedding.projection_dim = None
2018-02-17 19:21:46,355 - INFO - allennlp.common.params - model.text_field_embedder.token_characters.embedding.trainable = True
2018-02-17 19:21:46,355 - INFO - allennlp.common.params - model.text_field_embedder.token_characters.embedding.padding_index = None
2018-02-17 19:21:46,356 - INFO - allennlp.common.params - model.text_field_embedder.token_characters.embedding.max_norm = None
2018-02-17 19:21:46,356 - INFO - allennlp.common.params - model.text_field_embedder.token_characters.embedding.norm_type = 2.0
2018-02-17 19:21:46,356 - INFO - allennlp.common.params - model.text_field_embedder.token_characters.embedding.scale_grad_by_freq = False
2018-02-17 19:21:46,356 - INFO - allennlp.common.params - model.text_field_embedder.token_characters.embedding.sparse = False
2018-02-17 19:21:46,356 - INFO - allennlp.common.params - model.text_field_embedder.token_characters.encoder.type = cnn
2018-02-17 19:21:46,356 - INFO - allennlp.common.params - model.text_field_embedder.token_characters.encoder.embedding_dim = 16
2018-02-17 19:21:46,357 - INFO - allennlp.common.params - model.text_field_embedder.token_characters.encoder.output_dim = None
2018-02-17 19:21:46,357 - INFO - allennlp.common.params - model.text_field_embedder.token_characters.encoder.num_filters = 100
2018-02-17 19:21:46,357 - INFO - allennlp.common.params - model.text_field_embedder.token_characters.encoder.conv_layer_activation = relu
2018-02-17 19:21:46,357 - INFO - allennlp.common.params - model.text_field_embedder.token_characters.encoder.ngram_filter_sizes = [5]
2018-02-17 19:21:46,359 - INFO - allennlp.common.params - model.text_field_embedder.token_characters.dropout = 0.2
2018-02-17 19:21:46,359 - INFO - allennlp.common.params - model.num_highway_layers = 2
2018-02-17 19:21:46,360 - INFO - allennlp.common.params - model.phrase_layer.type = lstm
2018-02-17 19:21:46,360 - INFO - allennlp.common.params - model.phrase_layer.batch_first = True
2018-02-17 19:21:46,360 - INFO - allennlp.common.params - Converting Params object to dict; logging of default values will not occur when dictionary parameters are used subsequently.
2018-02-17 19:21:46,360 - INFO - allennlp.common.params - CURRENTLY DEFINED PARAMETERS: 
2018-02-17 19:21:46,360 - INFO - allennlp.common.params - model.phrase_layer.bidirectional = True
2018-02-17 19:21:46,361 - INFO - allennlp.common.params - model.phrase_layer.input_size = 200
2018-02-17 19:21:46,361 - INFO - allennlp.common.params - model.phrase_layer.hidden_size = 100
2018-02-17 19:21:46,361 - INFO - allennlp.common.params - model.phrase_layer.num_layers = 1
2018-02-17 19:21:46,361 - INFO - allennlp.common.params - model.phrase_layer.dropout = 0.2
2018-02-17 19:21:46,361 - INFO - allennlp.common.params - model.phrase_layer.batch_first = True
2018-02-17 19:21:46,364 - INFO - allennlp.common.params - model.similarity_function.type = linear
2018-02-17 19:21:46,364 - INFO - allennlp.common.params - model.similarity_function.tensor_1_dim = 200
2018-02-17 19:21:46,364 - INFO - allennlp.common.params - model.similarity_function.tensor_2_dim = 200
2018-02-17 19:21:46,364 - INFO - allennlp.common.params - model.similarity_function.combination = x,y,x*y
2018-02-17 19:21:46,365 - INFO - allennlp.common.params - model.similarity_function.activation = linear
2018-02-17 19:21:46,365 - INFO - allennlp.common.params - model.modeling_layer.type = lstm
2018-02-17 19:21:46,365 - INFO - allennlp.common.params - model.modeling_layer.batch_first = True
2018-02-17 19:21:46,365 - INFO - allennlp.common.params - Converting Params object to dict; logging of default values will not occur when dictionary parameters are used subsequently.
2018-02-17 19:21:46,365 - INFO - allennlp.common.params - CURRENTLY DEFINED PARAMETERS: 
2018-02-17 19:21:46,366 - INFO - allennlp.common.params - model.modeling_layer.bidirectional = True
2018-02-17 19:21:46,366 - INFO - allennlp.common.params - model.modeling_layer.input_size = 800
2018-02-17 19:21:46,366 - INFO - allennlp.common.params - model.modeling_layer.hidden_size = 100
2018-02-17 19:21:46,366 - INFO - allennlp.common.params - model.modeling_layer.num_layers = 2
2018-02-17 19:21:46,366 - INFO - allennlp.common.params - model.modeling_layer.dropout = 0.2
2018-02-17 19:21:46,366 - INFO - allennlp.common.params - model.modeling_layer.batch_first = True
2018-02-17 19:21:46,376 - INFO - allennlp.common.params - model.span_end_encoder.type = lstm
2018-02-17 19:21:46,377 - INFO - allennlp.common.params - model.span_end_encoder.batch_first = True
2018-02-17 19:21:46,377 - INFO - allennlp.common.params - Converting Params object to dict; logging of default values will not occur when dictionary parameters are used subsequently.
2018-02-17 19:21:46,377 - INFO - allennlp.common.params - CURRENTLY DEFINED PARAMETERS: 
2018-02-17 19:21:46,377 - INFO - allennlp.common.params - model.span_end_encoder.bidirectional = True
2018-02-17 19:21:46,377 - INFO - allennlp.common.params - model.span_end_encoder.input_size = 1400
2018-02-17 19:21:46,377 - INFO - allennlp.common.params - model.span_end_encoder.hidden_size = 100
2018-02-17 19:21:46,378 - INFO - allennlp.common.params - model.span_end_encoder.num_layers = 1
2018-02-17 19:21:46,378 - INFO - allennlp.common.params - model.span_end_encoder.dropout = 0.2
2018-02-17 19:21:46,378 - INFO - allennlp.common.params - model.span_end_encoder.batch_first = True
2018-02-17 19:21:46,392 - INFO - allennlp.common.params - model.dropout = 0.2
2018-02-17 19:21:46,392 - INFO - allennlp.common.params - model.initializer = []
2018-02-17 19:21:46,392 - INFO - allennlp.common.params - model.regularizer = []
2018-02-17 19:21:46,392 - INFO - allennlp.common.params - model.mask_lstms = True
2018-02-17 19:21:46,395 - INFO - allennlp.nn.initializers - Initializing parameters
2018-02-17 19:21:46,396 - INFO - allennlp.nn.initializers - Done initializing parameters; the following parameters are using their default initialization from their code
2018-02-17 19:21:46,396 - INFO - allennlp.nn.initializers -    _highway_layer._module._layers.0.bias
2018-02-17 19:21:46,396 - INFO - allennlp.nn.initializers -    _highway_layer._module._layers.0.weight
2018-02-17 19:21:46,396 - INFO - allennlp.nn.initializers -    _highway_layer._module._layers.1.bias
2018-02-17 19:21:46,397 - INFO - allennlp.nn.initializers -    _highway_layer._module._layers.1.weight
2018-02-17 19:21:46,397 - INFO - allennlp.nn.initializers -    _matrix_attention._similarity_function._bias
2018-02-17 19:21:46,397 - INFO - allennlp.nn.initializers -    _matrix_attention._similarity_function._weight_vector
2018-02-17 19:21:46,397 - INFO - allennlp.nn.initializers -    _modeling_layer._module.bias_hh_l0
2018-02-17 19:21:46,398 - INFO - allennlp.nn.initializers -    _modeling_layer._module.bias_hh_l0_reverse
2018-02-17 19:21:46,398 - INFO - allennlp.nn.initializers -    _modeling_layer._module.bias_hh_l1
2018-02-17 19:21:46,398 - INFO - allennlp.nn.initializers -    _modeling_layer._module.bias_hh_l1_reverse
2018-02-17 19:21:46,399 - INFO - allennlp.nn.initializers -    _modeling_layer._module.bias_ih_l0
2018-02-17 19:21:46,399 - INFO - allennlp.nn.initializers -    _modeling_layer._module.bias_ih_l0_reverse
2018-02-17 19:21:46,399 - INFO - allennlp.nn.initializers -    _modeling_layer._module.bias_ih_l1
2018-02-17 19:21:46,399 - INFO - allennlp.nn.initializers -    _modeling_layer._module.bias_ih_l1_reverse
2018-02-17 19:21:46,399 - INFO - allennlp.nn.initializers -    _modeling_layer._module.weight_hh_l0
2018-02-17 19:21:46,399 - INFO - allennlp.nn.initializers -    _modeling_layer._module.weight_hh_l0_reverse
2018-02-17 19:21:46,400 - INFO - allennlp.nn.initializers -    _modeling_layer._module.weight_hh_l1
2018-02-17 19:21:46,400 - INFO - allennlp.nn.initializers -    _modeling_layer._module.weight_hh_l1_reverse
2018-02-17 19:21:46,400 - INFO - allennlp.nn.initializers -    _modeling_layer._module.weight_ih_l0
2018-02-17 19:21:46,400 - INFO - allennlp.nn.initializers -    _modeling_layer._module.weight_ih_l0_reverse
2018-02-17 19:21:46,400 - INFO - allennlp.nn.initializers -    _modeling_layer._module.weight_ih_l1
2018-02-17 19:21:46,401 - INFO - allennlp.nn.initializers -    _modeling_layer._module.weight_ih_l1_reverse
2018-02-17 19:21:46,401 - INFO - allennlp.nn.initializers -    _phrase_layer._module.bias_hh_l0
2018-02-17 19:21:46,401 - INFO - allennlp.nn.initializers -    _phrase_layer._module.bias_hh_l0_reverse
2018-02-17 19:21:46,401 - INFO - allennlp.nn.initializers -    _phrase_layer._module.bias_ih_l0
2018-02-17 19:21:46,401 - INFO - allennlp.nn.initializers -    _phrase_layer._module.bias_ih_l0_reverse
2018-02-17 19:21:46,402 - INFO - allennlp.nn.initializers -    _phrase_layer._module.weight_hh_l0
2018-02-17 19:21:46,402 - INFO - allennlp.nn.initializers -    _phrase_layer._module.weight_hh_l0_reverse
2018-02-17 19:21:46,402 - INFO - allennlp.nn.initializers -    _phrase_layer._module.weight_ih_l0
2018-02-17 19:21:46,402 - INFO - allennlp.nn.initializers -    _phrase_layer._module.weight_ih_l0_reverse
2018-02-17 19:21:46,402 - INFO - allennlp.nn.initializers -    _span_end_encoder._module.bias_hh_l0
2018-02-17 19:21:46,402 - INFO - allennlp.nn.initializers -    _span_end_encoder._module.bias_hh_l0_reverse
2018-02-17 19:21:46,402 - INFO - allennlp.nn.initializers -    _span_end_encoder._module.bias_ih_l0
2018-02-17 19:21:46,402 - INFO - allennlp.nn.initializers -    _span_end_encoder._module.bias_ih_l0_reverse
2018-02-17 19:21:46,403 - INFO - allennlp.nn.initializers -    _span_end_encoder._module.weight_hh_l0
2018-02-17 19:21:46,403 - INFO - allennlp.nn.initializers -    _span_end_encoder._module.weight_hh_l0_reverse
2018-02-17 19:21:46,403 - INFO - allennlp.nn.initializers -    _span_end_encoder._module.weight_ih_l0
2018-02-17 19:21:46,403 - INFO - allennlp.nn.initializers -    _span_end_encoder._module.weight_ih_l0_reverse
2018-02-17 19:21:46,403 - INFO - allennlp.nn.initializers -    _span_end_predictor._module.bias
2018-02-17 19:21:46,403 - INFO - allennlp.nn.initializers -    _span_end_predictor._module.weight
2018-02-17 19:21:46,403 - INFO - allennlp.nn.initializers -    _span_start_predictor._module.bias
2018-02-17 19:21:46,403 - INFO - allennlp.nn.initializers -    _span_start_predictor._module.weight
2018-02-17 19:21:46,403 - INFO - allennlp.nn.initializers -    _text_field_embedder.token_embedder_token_characters._embedding._module.weight
2018-02-17 19:21:46,404 - INFO - allennlp.nn.initializers -    _text_field_embedder.token_embedder_token_characters._encoder._module.conv_layer_0.bias
2018-02-17 19:21:46,404 - INFO - allennlp.nn.initializers -    _text_field_embedder.token_embedder_token_characters._encoder._module.conv_layer_0.weight
2018-02-17 19:21:46,404 - INFO - allennlp.nn.initializers -    _text_field_embedder.token_embedder_tokens.weight
2018-02-17 19:21:46,404 - INFO - allennlp.common.params - iterator.type = bucket
2018-02-17 19:21:46,404 - INFO - allennlp.common.params - iterator.sorting_keys = [['passage', 'num_tokens'], ['question', 'num_tokens']]
2018-02-17 19:21:46,404 - INFO - allennlp.common.params - iterator.padding_noise = 0.1
2018-02-17 19:21:46,404 - INFO - allennlp.common.params - iterator.biggest_batch_first = False
2018-02-17 19:21:46,404 - INFO - allennlp.common.params - iterator.batch_size = 40
2018-02-17 19:21:46,404 - INFO - allennlp.data.dataset - Indexing dataset
100%|##########| 272/272 [00:00<00:00, 292.86it/s]
2018-02-17 19:21:47,334 - INFO - allennlp.data.dataset - Indexing dataset
100%|##########| 272/272 [00:00<00:00, 312.04it/s]
2018-02-17 19:21:48,219 - INFO - allennlp.common.params - trainer.patience = 10
2018-02-17 19:21:48,219 - INFO - allennlp.common.params - trainer.validation_metric = +em
2018-02-17 19:21:48,219 - INFO - allennlp.common.params - trainer.num_epochs = 10
2018-02-17 19:21:48,219 - INFO - allennlp.common.params - trainer.cuda_device = 0
2018-02-17 19:21:48,220 - INFO - allennlp.common.params - trainer.grad_norm = 5.0
2018-02-17 19:21:48,220 - INFO - allennlp.common.params - trainer.grad_clipping = None
Traceback (most recent call last):
  File "/usr/local/Cellar/python3/3.6.4_2/Frameworks/Python.framework/Versions/3.6/lib/python3.6/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/local/Cellar/python3/3.6.4_2/Frameworks/Python.framework/Versions/3.6/lib/python3.6/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "/usr/local/lib/python3.6/site-packages/allennlp/run.py", line 13, in <module>
    main(prog="python -m allennlp.run")
  File "/usr/local/lib/python3.6/site-packages/allennlp/commands/__init__.py", line 77, in main
    args.func(args)
  File "/usr/local/lib/python3.6/site-packages/allennlp/commands/train.py", line 73, in train_model_from_args
    train_model_from_file(args.param_path, args.serialization_dir)
  File "/usr/local/lib/python3.6/site-packages/allennlp/commands/train.py", line 89, in train_model_from_file
    return train_model(params, serialization_dir)
  File "/usr/local/lib/python3.6/site-packages/allennlp/commands/train.py", line 174, in train_model
    trainer_params)
  File "/usr/local/lib/python3.6/site-packages/allennlp/training/trainer.py", line 517, in from_params
    model = model.cuda(cuda_device)
  File "/usr/local/lib/python3.6/site-packages/torch/nn/modules/module.py", line 216, in cuda
    return self._apply(lambda t: t.cuda(device))
  File "/usr/local/lib/python3.6/site-packages/torch/nn/modules/module.py", line 146, in _apply
    module._apply(fn)
  File "/usr/local/lib/python3.6/site-packages/torch/nn/modules/module.py", line 146, in _apply
    module._apply(fn)
  File "/usr/local/lib/python3.6/site-packages/torch/nn/modules/module.py", line 152, in _apply
    param.data = fn(param.data)
  File "/usr/local/lib/python3.6/site-packages/torch/nn/modules/module.py", line 216, in <lambda>
    return self._apply(lambda t: t.cuda(device))
  File "/usr/local/lib/python3.6/site-packages/torch/_utils.py", line 61, in _cuda
    with torch.cuda.device(device):
  File "/usr/local/lib/python3.6/site-packages/torch/cuda/__init__.py", line 186, in __enter__
    _lazy_init()
  File "/usr/local/lib/python3.6/site-packages/torch/cuda/__init__.py", line 120, in _lazy_init
    _check_driver()
  File "/usr/local/lib/python3.6/site-packages/torch/cuda/__init__.py", line 55, in _check_driver
    raise AssertionError("Torch not compiled with CUDA enabled")
AssertionError: Torch not compiled with CUDA enabled

In the log, note the mention of "trainer.cuda_device = 0".
@DeNeutoy
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Ah - CUDA device ids are zero indexed, so you actually need to set it to -1 (or remove the flag entirely from your config, as the default value for this flag is -1).

@danyaljj
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Oh yikes

@JoaoMVR JoaoMVR mentioned this issue Mar 29, 2019
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@donpaul999
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Hi! I have the same error but I can't manage to solve it. I have a MacOS device too.

@timothy22000 timothy22000 mentioned this issue Jul 26, 2021
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@danyaljj @DeNeutoy @donpaul999